Optimization of muscle activity for task-level goals predicts complex changes in limb forces across biomechanical contexts

PLoS Computational Biology

Volumn 8, Issue 4, 2012, Pages

  McKay, J Lucas ^a   Ting, Lena H ^a  

^a GEORGIA INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMALS; BIOMECHANICS; BIOPHYSICS; COST FUNCTIONS; FORECASTING; MERGERS AND ACQUISITIONS; MUSCLE;

CONTROL EFFORT; CONTROL MECHANISM; MOTOR CONTROL; MOTOR TASKS; MUSCLE ACTIVITIES; MUSCLE SYNERGIES; NEURAL CONTROL; OPTIMALITY PRINCIPLE; OPTIMISATIONS; TASK LEVELS;

REDUNDANCY;

ANIMAL EXPERIMENT; ARTICLE; BIOMECHANICS; BODY EQUILIBRIUM; BRAIN STEM RESPONSE; CAT; CONTROLLED STUDY; FORELIMB; HINDLIMB; KINEMATICS; LOCOMOTION; MOTOR CONTROL; MOTOR COORDINATION; MUSCLE CONTRACTION; MUSCLE FORCE; MUSCLE FUNCTION; MUSCLE TONE; NONHUMAN; TASK PERFORMANCE; VOLUNTARY MOVEMENT; ANIMAL; BIOLOGICAL MODEL; BODY POSTURE; COMPUTER SIMULATION; INNERVATION; MOVEMENT (PHYSIOLOGY); PHYSIOLOGY; SKELETAL MUSCLE;

ANIMALIA;

ANIMALS; CATS; COMPUTER SIMULATION; MODELS, NEUROLOGICAL; MOVEMENT; MUSCLE CONTRACTION; MUSCLE, SKELETAL; POSTURAL BALANCE; POSTURE; TASK PERFORMANCE AND ANALYSIS;

EID: 84861128879     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002465     Document Type: Article

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